I am a dedicated computational biology researcher with a robust
foundation in bioinformatics, algorithm development, and large-scale
multiomic data integration. I possess deep expertise in machine
learning, statistical modeling, electronics, and software engineering,
complemented by proficiency in systems biology, network analysis, and
high-dimensional data interpretation. My experience spans
interdisciplinary collaborations in immunology, genomics, and
biomedical engineering, where I have developed and applied
cutting-edge tools to solve complex biological challenges.
I am skilled in advanced programming languages, cloud
computing platforms, AR/VR technologies, and full-stack development,
alongside innovative data visualization techniques that drive
actionable insights. Passionate about unraveling intricate biological
mechanisms, I leverage eletronics, computational simulations, pathway
enrichment analyses, and high-performance computing to enhance
understanding of cellular processes. Committed to advancing the
frontiers of biomedical science, I continuously explore the
intersection of computational and experimental research to address the
most pressing challenges in health and disease.
I am a curious tinkerer with a passion for exploring how
things work and finding ways to improve them. From coding algorithms
and designing visualizations to hands-on problem-solving, I enjoy
experimenting across disciplines. My broad interests keep me adaptable
and open to new ideas, enabling me to approach challenges creatively
and uncover practical solutions.
Brigham and Women's Hospital, Cambridge, MA, USA
Research Intern (Jul 2024 - Present)
Mentor: Dr. Vinay S. Mahajan (BWH Division of Engineering in
Medicine)
Co-mentor: Dr. Shiv Pillai (Ragon Institute of MGH, MIT, and
Harvard)
Project: Epigenomic Analysis of CD4+ CTL Differentiation in
IgG4-related Disease
In this project, I developed advanced bioinformatics pipelines to
conduct a multiomic study on human CD4+ cytotoxic T lymphocyte (CTL)
differentiation in IgG4-related disease. By integrating whole genome
bisulfite sequencing (WGBS), RNA-seq, single-cell RNA-seq, ATAC-seq,
and enhancer RNA sequencing datasets, I identified key epigenomic and
transcriptomic regulators driving CD4+ CTL differentiation. This
research uncovered novel enhancer regions and CpG methylation
signatures, with implications for understanding autoimmune diseases
and improving cancer immunotherapy strategies.
Brigham and Women's Hospital, Cambridge, MA, USA
Research Intern (Jan 2024 - Present)
Mentor: Dr. Vinay S. Mahajan (BWH Division of Engineering in
Medicine)
Co-mentor: Dr. Jishnu Das (University of Pittsburgh)
Project: Algorithm Development for Gene Regulatory Network
Analysis
I developed a multilayer network analysis framework using the
Multi-Dimensional HITS (MD-HITS) algorithm to analyze temporal gene
regulatory networks (GRNs) in cell differentiation. This framework was
applied to T follicular helper (Tfh) cell differentiation, integrating
ATAC-seq chromatin accessibility and RNA-seq data to map
transcriptional regulators. My approach identified crucial regulatory
nodes and pathways in Tfh cell lineage specification, outperforming
other GRN centrality ranking methods. This work, presented at ISMB
Montreal 2024, provided both computational insights and biological
significance.
IIT Kharagpur, Kharagpur, India
Research Intern (Aug 2021 - Mar 2023)
Mentor: Dr. Kaushal Kumar Bhagat (IVAR Lab)
I implemented machine learning models for real-time pose estimation
and gesture tracking, developing AR/VR applications for medical
education and interactive learning. Additionally, I led project teams,
managed development cycles, and contributed to open-source educational
software. This work culminated in a co-authored research publication
with Dr. Christian Moro from Bond University, Australia.
HDI Global SE, Tokyo, Japan
Software Intern (on-site, Tokyo branch) (Mar - Aug 2023)
Automation and Deployment Engineer (remote contractor) (Sept
2023 - Feb 2024)
During my time in Tokyo, I automated complex insurance policy
generation processes, significantly improving efficiency and achieving
a time savings of over 40 hours per policy. This was accomplished
through the design and implementation of streamlined data extraction
and validation systems. I also contributed to improving client
interactions and operational workflows, leading to reduced processing
errors and enhanced business efficiency. Additionally, I provided
remote oversight, managing ongoing product operations for the home
branch in Germany, ensuring smooth deployment and integration of
processes.